[ 572MASTSTAK15 ] KS Introduction to Statistical Methods

Es ist eine neuere Version 2018W dieser LV im Curriculum Bachelor's programme Business and Economics 2019W vorhanden.
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year Statistics Andreas Quatember 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Business and Economics 2017W
Objectives Students will learn how to calculate simple statistics and how to analyse data regarding populations. They will acquire knowledge in inductive statistics, particularly its logical Background based on basic principles of probability theory.
Subject Base knowledge in descriptive statistics, probability theory and inductive statistics
Criteria for evaluation Homework assignments and a final examination
  • Lecture by instructor
  • Discussion of the homework assignments
  • Working with data using EXCEL
Language German
Study material Quatember, A. (2017). Statistik ohne Angst vor Formeln. 5. Auflage, Pearson, Hallbergmoos. (in German)
Changing subject? No
Further information In KUSSS students find EXCEL-Learning files and the collection of homework examples including the course rules
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority
This course is additionally offered in the following versions:
MuSSS Linz    
MuSSS Linz 2019WS
Number obligatory dates     0    
MuSSS assistance     Astrid Horejs    
Number participants (min/max)     25 / 200    
Course fee     € 36,00    
Online materials and media     Powerpoint slides with audio commentary, Exercises (compulsory and optional), Excel-learning-files. The accompanying Moodle-course can be found in JKU Moodle.    
Book from onlineshop     Statistik ohne Angst vor Formeln (fünfte Auflage 2017 - Quatember - Pearson Verlag), available at the price of € 24,95 at ÖH-Shop, available from course assignment    
Wed09.10.201909:15 - 10:00S2 219Tutorium (alle Tutorien sind ein Angebot, keine Pflicht)
Thu10.10.201912:45 - 13:30S3 048Tutorium (alle Tutorien sind ein Angebot, keine Pflicht)
Wed16.10.201909:15 - 10:00S2 219Tutorium
Thu17.10.201912:45 - 13:30S3 048Tutorium
Wed23.10.201909:15 - 10:00S2 219Tutorium
Thu24.10.201912:45 - 13:30S3 048Tutorium
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Thu31.10.201912:45 - 13:30S3 048Tutorium
Wed06.11.201909:15 - 10:00S2 219Tutorium
Thu07.11.201912:45 - 13:30S3 048Tutorium
Wed13.11.201909:15 - 10:00K 001ATutorium
Thu14.11.201912:45 - 13:30S3 048Tutorium
Wed20.11.201909:15 - 10:00S2 219Tutorium
Thu21.11.201912:45 - 13:30S3 048Tutorium
Wed27.11.201909:15 - 10:00S2 219Tutorium
Thu28.11.201912:45 - 13:30S3 048Tutorium
Wed04.12.201909:15 - 10:00S2 219Tutorium
Thu05.12.201912:45 - 13:30S3 048Tutorium
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Thu12.12.201912:45 - 13:30S3 048Tutorium
Wed18.12.201909:15 - 10:00S2 219Tutorium
Thu19.12.201912:45 - 13:30S3 048Tutorium
Wed15.01.202009:15 - 10:00S2 219Tutorium
Thu16.01.202012:45 - 13:30S3 048Tutorium
Wed22.01.202009:15 - 10:00S2 219Fragestunde
Thu23.01.202012:45 - 13:30S3 048Fragestunde
Fri24.01.202013:45 - 15:15HS 1Klausur (Hörsaal wird zugeteilt)
Fri24.01.202013:45 - 15:15HS 16Klausur (Hörsaal wird zugeteilt)
Mon27.01.202010:15 - 11:45HS 18Nachbesprechung der Klausur
Wed26.02.202015:30 - 17:00HS 1Nachklausur